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Predators
by Steve BackshallJoin DEADLY presenter Steve Backshall as he comes face to face with the world's deadliest animals, in a book packed with fascinating facts, killer statistics and stunning photographs. Combined with his own incredible experiences with creatures, large and small, Steve reveals tricks of camouflage, feats of strength, endurance, teamwork and speed, as well as giving us a glimpse into the lives of extremeophiles and looking at some of our planet's endangered species.
Predators and Parasitoids (Advances In Biopesticide Research Ser. #Vol. 3)
by G. S. Dhaliwal Opender KoulTheir natural enemies largely determine the population size and dynamic behavior of many plant-eating insects. Any reduction in enemy number can result in an insect outbreak. Applied biological control is thus one strategy for restoring functional biodiversity in many agroecosystems. Predators and Parasitoids addresses the role of natural enemies i
Predictability of Chaotic Dynamics
by Miguel A. F. Sanjuan Juan C. VallejoThis book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observation, modeling and computation are strongly interdependent. Unlike with physical systems under control in laboratories, for instance in celestial mechanics, one is confronted with the observation and modeling of systems without the possibility of altering the key parameters of the objects studied. Therefore, the numerical simulations offer an essential tool for analyzing these systems. With the widespread use of computer simulations to solve complex dynamical systems, the reliability of the numerical calculations is of ever-increasing interest and importance. This reliability is directly related to the regularity and instability properties of the modeled flow. In this interdisciplinary scenario, the underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences provide the actual numerical implementation. This book introduces and explores precisely this link between the models and their predictability characterization based on concepts derived from the field of nonlinear dynamics, with a focus on the finite-time Lyapunov exponents approach. The method is illustrated using a number of well-known continuous dynamical systems, including the Contopoulos, H#65533;non-Heiles and R#65533;ssler systems. To help students and newcomers quickly learn to apply these techniques, the appendix provides descriptions of the algorithms used throughout the text and details how to implement them in order to solve a given continuous dynamical system.
Predictability of Chaotic Dynamics: A Finite-time Lyapunov Exponents Approach (Springer Series in Synergetics)
by Juan C. Vallejo Miguel A. SanjuanThis book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and computation are strongly interdependent. Unlike with physical systems under control in laboratories, in astronomy it is uncommon to have the possibility of altering the key parameters of the studied objects. Therefore, the numerical simulations offer an essential tool for analysing these systems, and their reliability is of ever-increasing interest and importance. In this interdisciplinary scenario, the underlying physics provide the simulated models, nonlinear dynamics provides their chaoticity and instability properties, and the computer sciences provide the actual numerical implementation. This book introduces and explores precisely this link between the models and their predictability characterization based on concepts derived from the field of nonlinear dynamics, with a focus on the strong sensitivity to initial conditions and the use of Lyapunov exponents to characterize this sensitivity. This method is illustrated using several well-known continuous dynamical systems, such as the Contopoulos, Hénon-Heiles and Rössler systems. This second edition revises and significantly enlarges the material of the first edition by providing new entry points for discussing new predictability issues on a variety of areas such as machine decision-making, partial differential equations or the analysis of attractors and basins. Finally, the parts of the book devoted to the application of these ideas to astronomy have been greatly enlarged, by first presenting some basics aspects of predictability in astronomy and then by expanding these ideas to a detailed analysis of a galactic potential.
Predicting Disasters: Earthquakes, Scientists, and Uncertainty in Modern Japan (Critical Studies in Risk and Disaster)
by Kerry SmithJapan is a place where powerful earthquakes have occurred more frequently and have caused more harm in the modern era than they have in all but a handful of other locations on the planet. In the twentieth century alone, earthquake disasters in Japan took almost as many lives as they had in all of the country’s recorded history up to that point. Predicting Disasters is the first English-language book to explore how scientists convinced policy makers and the public in postwar Japan that catastrophic earthquakes were coming, and the first to show why earthquake prediction has played such a central role in Japan’s efforts to prepare for a dangerous future ever since.Kerry Smith shows how, in the twentieth century, scientists struggled to make large-scale earthquake disasters legible to the public and to policy makers as significant threats to Japan’s future and as phenomena that could be anticipated and prepared for. Smith also explains why understanding those struggles matters. Disasters, Smith contends, belong alongside more familiar topics of analysis in modern Japanese history—such as economic growth and its impacts, political crises and popular protest, and even the legacies of the war—for the work they do in helping us better understand how the past has influenced beliefs about Japan’s possible futures, and how beliefs about the future shape the present.Predicting Disasters makes relevant elements of Japan’s past more accessible to readers interested in the histories of disaster and scientific communities, as well as to those who want to gain a better understanding of the risk and uncertainty surrounding natural phenomena.
Predicting Flow-Induced Acoustics at Near-Stall Conditions in an Automotive Turbocharger Compressor
by Roberto Navarro GarcíaThis thesis offers new insights into the fluid flow behavior of automotive centrifugal compressors operating under near-stall conditions. Firstly it discusses the validation of three-dimensional computational fluid dynamics (CFD) unsteady simulations against acoustic experimental measurements using an original procedure based on plane wave pressure decomposition. It then examines the configuration of the CFD cases, highlighting the key parameters needed for a successful calculation. Moreover, it describes both the compressor mean and unsteady flow field from best-efficiency to near-surge operating points. Lastly, it provides readers with explanations of the various phenomena that arise when the mass flow rate is reduced and the compressor is driven to poor and noisy performance. Written for students, researchers and professionals who want to improve their understanding of the complex fluid flow behavior in centrifugal compressors, the thesis offers valuable practical insights into reducing the acoustic emissions of turbochargers.
Predicting Invasions Of Nonindigenous Plants And Plant Pests
by Committee on the Scientific Basis for Predicting the Invasive Potential of Nonindigenous Plants Plant Pests in the United StatesNonindigenous plants and plant pests that find their way to the United States and become invasive can often cause problems. They cost more than $100 billion per year in crop and timber losses plus the expense of herbicides and pesticides. And this figure does not include the costs of invasions in less intensively managed ecosystems such as wetlands. Nonindigenous Plants and Plant Pests examines this growing problem and offers recommendations for enhancing the science base in this field, improving our detection of potential invaders, and refining our ability to predict their impact. The book analyzes the factors that shape an invader’s progress through four stages: arriving through one of many possible ports of entry, reaching a threshold of survival, thriving through proliferation and geographic spread, and ultimate impact on the organism’s new environment. The book also reviews approaches to predicting whether a species will become an invader as well as the more complex challenge of predicting and measuring its impact on the environment, a process involving value judgments and risk assessment. This detailed analysis will be of interest to policymakers, plant scientists, agricultural producers, environmentalists, and public agencies concerned with invasive plant and plant pest species.
Predicting Motion
by Robert LambournePredicting Motion presents the core ideas of Newtonian mechanics, starting from Newton's laws and the idea that changes in motion are predictable given the forces that cause them. Richly illustrated with questions and answers for self-assessment, it carefully introduces concepts, such as kinetics and potential energy, linear momentum, torque (the r
Predicting Photosynthesis For Ecosystem Models: Volume II
by John D. HeskethThis book discusses the photosynthesis for ecosystem models, in particular the strengths and limitations of four methods used for predicting photosynthesis. The methods usage depends upon the purpose of the prediction to be made, as well as improvements in associated techniques that seem to revolutionize the methodology. Therefore comparisons between methods are valuable justifying this state of the art review for all photosynthetic scientists.
Predicting Photosynthesis For Ecosystem Models: Volume I
by John D. HeskethThis book discusses the photosynthesis for ecosystem models, in particular the strengths and limitations of four methods used for predicting photosynthesis. The methods usage depends upon the purpose of the prediction to be made, as well as improvements in associated techniques that seem to revolutionize the methodology. Therefore comparisons between methods are valuable justifying this state of the art review for all photosynthetic scientists.
Predicting Room of Origin Fire Hazards (The Society of Fire Protection Engineers Series)
by The Society of Fire Protection EngineersThis engineering guide provides a methodology to define and quantify the fire development andensuing conditions within the room of fire origin from the fire’s incipient stage through its fulldevelopment. The approach presented in this guide was developed using the framework set forthin the SFPE Engineering Guide to Performance-Based Fire Protection. 2nd ed., Quincy, Mass.:National Fire Protection Association, 2007.)It consists of three distinct parts:1. Approach selection2. Input definition and data collection3. Results computationSpecifically, this guide was developed for use as a means to implement the requirements presented in Chapter 10 of the SFPE Engineering Guide to Performance-Based Fire Protection. However, material within this guide has broader applicability and is therefore not limited to performance-based design applications.
Predicting Solubility of New Drugs: Handbook of Critically Curated Data for Pharmaceutical Research
by Alex AvdeefIn pharmaceutical research, solubility plays a key part in the assessment of pharmacokinetic risks. Poor drug absorption, reduced efficacy, excessive metabolism, and adverse reactions are frequently related to issues of drug solubility. During early discovery research at pharmaceutical companies, many thousands of molecules are considered. Most are rejected due to perceived unfavorable properties. Here the author uses the Wiki-pS0TM database, which forms the backbone of this unique handbook. Also discussed is the emerging class of therapeutically promising research molecules called PROTACs (proteolysis-targeting chimeras), showing a propensity for ‘undruggable’ targets.FEATURES• A comprehensive and unique listing of measured aqueous intrinsic solubility focusing on drug-like and drug-relevant molecules.• The database can be used to predict the solubility of research pharmaceutical molecules.• Includes downloadable files of the database (.csv format).• The mining of the database can result in a better design of solubility assay protocols, leading to better quality of measurements.• Artificial intelligence and Bayesian statistics will likely be key to this subject area in the future.Alex Avdeef has been an American Association of Pharmaceutical Scientists (AAPS) Fellow since 2014, a former visiting senior research fellow at King’s College London, and is the author of Absorption and Drug Development (2nd ed., Wiley, 2012). In 2021, the book was translated into Chinese, by translators affiliated with the China Food and Drug Administration. For nearly 50 years, he has been teaching, researching, and developing methods, instruments, and analysis software for the measurement of ionization constants, solubility, dissolution, and permeability of drugs. His accomplishments in the development of instrumentation include several well-known instruments that are or recently have been manufactured by leading companies in the instrument market, including Thermo Fisher Scientific, Sirius Analytical, and Pion Inc. He has over 200 technical publications in primary scientific journals and book chapters. He has written several comprehensive technical guides and is a co-inventor on six patents. He cofounded Sirius Analytical (UK) in 1989, pION Inc. (USA) in 1996, and founded in–ADME Research (New York City) in 2011. His other positions were at Orion Research, Syracuse University, UC Berkeley, and Caltech.
Predicting Storm Surges: UNESCO-IHE PhD Thesis
by null Michael SiekAccurate predictions of storm surge are of importance in many coastal areas in the world to avoid and mitigate its destructive impacts. For this purpose the physically-based (process) numerical models are typically utilized. However, in data-rich cases, one may use data-driven methods aiming at reconstructing the internal patterns of the modelled p
Predicting the Future
by Henry AbarbanelThrough the development of an exact path integral for use in transferring information from observations to a model of the observed system, the author provides a general framework for the discussion of model building and evaluation across disciplines. Through many illustrative examples drawn from models in neuroscience, geosciences, and nonlinear electrical circuits, the concepts are exemplified in detail. Practical numerical methods for approximate evaluations of the path integral are explored, and their use in designing experiments and determining a model's consistency with observations is explored.
Predicting the T2K Neutrino Flux and Measuring Oscillation Parameters (Springer Theses)
by Tomislav VladisavljevicThis thesis reports the calculation of neutrino production for the T2K experiment; the most precise a priori estimate of neutrino production that has been achieved for any accelerator-based neutrino oscillation experiment to date. The production of intense neutrino beams at accelerator facilities requires exceptional understanding of chains of particle interactions initiated within extended targets. In this thesis, the calculation of neutrino production for T2K has been improved by using measurements of particle production from a T2K replica target, taken by the NA61/SHINE experiment. This enabled the reduction of the neutrino production uncertainty to the level of 5%, which will have a significant impact on neutrino oscillation and interaction measurements by T2K in the coming years. In addition to presenting the revised flux calculation methodology in an accessible format, this thesis also reports a joint T2K measurement of muon neutrino and antineutrino disappearance, and the accompanying electron neutrino and antineutrino appearance, with the updated beam constraint.
Prediction and Calculation of Crystal Structures
by Sule Atahan-Evrenk Alan Aspuru-GuzikThe series Topics in Current Chemistry presents critical reviews of the present and future trends in modern chemical research. The scope of coverage is all areas of chemical science including the interfaces with related disciplines such as biology, medicine and materials science. The goal of each thematic volume is to give the non-specialist reader, whether in academia or industry, a comprehensive insight into an area where new research is emerging which is of interest to a larger scientific audience. Each review within the volume critically surveys one aspect of that topic and places it within the context of the volume as a whole. The most significant developments of the last 5 to 10 years are presented using selected examples to illustrate the principles discussed. The coverage is not intended to be an exhaustive summary of the field or include large quantities of data, but should rather be conceptual, concentrating on the methodological thinking that will allow the non-specialist reader to understand the information presented. Contributions also offer an outlook on potential future developments in the field. Review articles for the individual volumes are invited by the volume editors. Readership: research chemists at universities or in industry, graduate students.
Prediction and Control of Noise and Vibration from Ventilation Systems
by Cheuk Ming Mak Kuen Wai Ma Hai Ming WongThis book addresses the prediction and control of noise and vibration in ventilation systems and their psychoacoustic effects on people. The content is based on the authors’ research and lecture material on building acoustics and provides insights into the development of prediction methods and control of noise and vibration from ventilation systems, and an assessment of their psychological effects on people. The basic principles and methods for prediction and control of noise and vibration from ventilation systems are discussed, including the latest developments on flow-generated noise prediction, assessment methods for the performance of vibration isolation, noise control using periodic Helmholtz Resonators, and holistic psychoacoustic assessment of noise from ventilation systems. The insightful book on noise and vibration in ventilation systems Extends into prediction, control, and psychoacoustic assessment methods The book suits graduate students and engineers in acoustics and noise and vibration control, as well as in building services engineering and across the built environment.
Prediction and Validation Technologies of Aerodynamic Force and Heat for Hypersonic Vehicle Design (Springer Aerospace Technology)
by Min ZhaoThis book provides an overview of advanced prediction and verification technologies for aerodynamics and aerothermodynamics and assesses a number of critical issues in advanced hypersonic vehicle design. Focusing on state-of-the-art theories and promising technologies for engineering applications, it also presents a range of representative practical test cases. Given its scope, the book offers a valuable asset for researchers who are interested in thermodynamics, aircraft design, wind tunnel testing, fluid dynamics and aerothermodynamics research methods, introducing them to inspiring new research topics.
Prediction in Forensic and Neuropsychology: Sound Statistical Practices
by Ronald D. FranklinPsychologists are under increasing pressure to demonstrate the ecological validity of their assessment procedures--to show that the recommendations concluding their evaluations are relevant to urgent concerns in the legal and social policy arenas, such as predicting dangerousness, awarding compensation, and choosing a custodial parent. How much damage does a referred patient have? Who or what "caused" the damage? What impact will it have on his or her future life, work, and family? And what can be done to remediate the damage? The purpose of this book is to provide sound objective methods for answering these questions. It integrates the knowledge of experienced practitioners who offer state-of-the-art summaries of the best current approaches to evaluating difficult cases with that of basic theorists who describe emerging methods in both predictive and inferential statistics, such as Bayesian networks, that have proven their value in other scientific fields. Arguably, the enterprise of psychological assessment is so interdependent with that of data analysis that attempts to make inferences without consideration of statistical implications is malpractice. Prediction in Forensic and Neuropsychology: Sound Statistical Practices clarifies the process of hypothesis testing and helps to push the clinical interpretation of psychological data into the 21st century. It constitutes a vital resource for all the stakeholders in the assessment process--practitioners, researchers, attorneys, and policymakers.
Prediction of Long Term Corrosion Behaviour in Nuclear Waste Systems EFC 36 (European Federation of Corrosion Publications)
by Damien FeronPapers presented on prediction of long term corrosion behaviour in nuclear waste systems EFC Issue 36.
Prediction of Polymer Properties (Plastics Engineering)
by Jozef BiceranoHighlighting a broad range multiscale modeling and methods for anticipating the morphologies and the properties of interfaces and multiphase materials, this reference covers the methodology of predicting polymer properties and its potential application to a wider variety of polymer types than previously thought possible. A comprehensive source, the
Prediction of Polymeric Membrane Separation and Purification Performances
by Alexander Anim-Mensah Rakesh GovindThis brief describes the development of a new model for realistically characterizing solution-diffusion transport mechanisms in polymeric membranes that are used for separation and purification of organic solvents. Polymeric membranes used in these environments, if not selected appropriately, undergo excessive swelling and compaction resulting in lowered performance or membrane destruction in the long-term. This brief describes the relationship between key parameters from a chemical, mechanical and thermodynamic perspective. Moreover, the authors show how this new model points membrane manufacturers, scientists, and engineers towards an understanding of how these key parameters are considered in (1) designing and manufacturing membranes for the right application, (2) designing the right test experiments to determine the long-term membrane behavior in a short time, (3) minimizing the number of experiments to determine a reliable membrane for an application and (4) selecting the right membrane with higher level of certainty. The overall benefits of the model includes saving money and time. A simplified version of the model is included to assist the reader.
Prediction of Protein Secondary Structure (Methods in Molecular Biology #2867)
by Andrzej Kloczkowski Lukasz Kurgan Eshel FaraggiThis second edition volume expands on the previous edition with updates on the latest methods, resources, and studies concerning analysis and prediction of various structural and functional aspects of proteins and ncRNAs. The chapters in this book cover topics such as secondary structure characterization and prediction; the use and impact of AI (including AlphaFold, large language models, and deep neural networks) in the protein structure prediction field; methods and resources for the prediction of posttranslational modifications, residue-residue contacts, subcellular localization, intrinsic disorder, protein-ligand interactions, and protein aggregation; analysis of cryo-EM data; and analysis of noncoding RNAs in the context of human diseases. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions and surveys of the respective topics, list the necessary materials and methods, cover step-by-step instructions on how to use predictive tools and interpret their results, and provide tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Prediction of Protein Secondary Structure, Second Edition is a valuable resource for anyone interested in understanding the dynamic and growing field of the protein structure prediction.
Prediction of Protein Secondary Structure
by Yaoqi Zhou Andrzej Kloczkowski Eshel Faraggi Yuedong YangThis thorough volume explores predicting one-dimensional functional properties, functional sites in particular, from protein sequences, an area which is getting more and more attention. Beginning with secondary structure prediction based on sequence only, the book continues by exploring secondary structure prediction based on evolution information, prediction of solvent accessible surface areas and backbone torsion angles, model building, global structural properties, functional properties, as well as visualizing interior and protruding regions in proteins. Written for the highly successful Methods in Molecular Biology series, the chapters include the kind of detail and implementation advice to ensure success in the laboratory. Practical and authoritative, Prediction of Protein Secondary Structure serves as a vital guide to numerous state-of-the-art techniques that are useful for computational and experimental biologists.
Prediction Technologies for Improving Engineering Product Efficiency
by Lev M. KlyatisThis book is aimed at readers who need to learn the latest solutions for interconnected simulation, testing, and prediction technologies that improve engineering product efficiency, including reliability, safety, quality, durability, maintainability, life-cycle costing and profit. It provides a detailed analysis of technologies now being used in industries such as electronics, automotive, aircraft, aerospace, off-highway, farm machinery, and others. It includes clear examples, charts, and illustrations. This book provides analyses of the simulation, testing, and prediction approaches and methodologies with descriptive, negative trends in their development. The author discusses why many current methods of simulation, testing, and prediction are not successful and describes novel techniques and tools developed for eliminating these problems. This book is a tool for engineers, managers, researches in industry, teachers, and students. Lev Klyatis, Hab. Dr.-Ing., ScD., PhD, Senior Advisor SoHaR, Inc., has been a professor at Moscow State Agricultural Engineering University, research leader and chairman of State Enterprise TESTMASH, and served on the US Technical Advisory Group for the International Electrotechnical Commission (IEC), the ISO/IEC Join Study Group in Safety Aspects of Risk Assessment, the United Nations European Economical Commission, and US-USSR Trade and Economic Council. He is presently a member of World Quality Council, the Elmer A. Sperry Board of Award, SAE International G-41 Reliability Committee, the Integrated Design and Manufacturing Committee and session chairman of SAE International World Congresses in Detroit since 2012. His vast experience and innovation enable him to create a new direction for the successful prediction of product efficiency during any given time, including accurate simulation of real-world conditions, accelerated reliability and durability testing technology, and reducing recalls. His approach has been verified in various industries, primarily automotive, farm machinery, aerospace, and aircraft industries. He has shared his new direction working as the seminar instructor and consultant to Ford, DaimlerChrysler, Nissan, Toyota, Jatko Ltd., Thermo King, Black an Dekker, NASA Research Centers, Karl Schenck, and many others. He holds over 30 patents worldwide and is the author of over 300 publications, including 15 books.